Triple
T14898030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jukun |
E359929
|
entity |
| Predicate | subgroup |
P10
|
FINISHED |
| Object |
Jukun Kona
Jukun Kona is a distinct subgroup of the Jukun people, an ethnic community primarily found in parts of central Nigeria.
|
E1127834
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jukun Kona | Statement: [Jukun, subgroup, Jukun Kona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jukun Kona Context triple: [Jukun, subgroup, Jukun Kona]
-
A.
Jukai
Jukai is a Japanese musician and composer known for creating atmospheric, emotionally driven songs often featured in anime and visual media.
-
B.
Kokonoe
Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
-
C.
Kakunyo
Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
-
D.
Yukio
Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jukun Kona Triple: [Jukun, subgroup, Jukun Kona]
Generated description
Jukun Kona is a distinct subgroup of the Jukun people, an ethnic community primarily found in parts of central Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jukun Kona Target entity description: Jukun Kona is a distinct subgroup of the Jukun people, an ethnic community primarily found in parts of central Nigeria.
-
A.
Jukai
Jukai is a Japanese musician and composer known for creating atmospheric, emotionally driven songs often featured in anime and visual media.
-
B.
Kokonoe
Kokonoe is a small mountainous town in Japan known for its hot springs, scenic highlands, and suspension bridges.
-
C.
Kakunyo
Kakunyo was a Japanese Buddhist monk of the Jōdo Shinshū tradition, known for systematizing his grandfather Shinran’s teachings and compiling early histories of the sect.
-
D.
Yukio
Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
-
E.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6084574819098033a9723f3e1c4 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e83418081908280a9ed8ddb9fd7 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7f9ea5848190af5edd6d2d22c117 |
completed | May 9, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7ff91dec8190aa9f0d42a8cd00e0 |
completed | May 9, 2026, 12:29 a.m. |
Created at: April 10, 2026, 2:11 a.m.